膀胱癌的危险因素：使用PubMed进行文献检索的挑战。
Risk factors for bladder cancer: challenges of conducting a literature search using PubMed.
作者信息
Joshi Ashish, Preslan Elicia
机构信息
College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
出版信息
Perspect Health Inf Manag. 2011 Apr 1;8(Spring):1e.
The objective of this study was to assess the risk factors for bladder cancer using PubMed articles from January 2000 to December 2009. The study also aimed to describe the challenges encountered in the methodology of a literature search for bladder cancer risk factors using PubMed. Twenty-six categories of risk factors for bladder cancer were identified using the National Cancer Institute Web site and the Medical Subject Headings (MeSH) Web site. A total of 1,338 PubMed searches were run using the term "urinary bladder cancer" and a risk factor term (e.g., "cigarette smoking") and were screened to identify 260 articles for final analysis. The search strategy had an overall precision of 3.42 percent, relative recall of 12.64 percent, and an F-measure of 5.39 percent. Although search terms derived from MeSH had the highest overall precision and recall, the differences did not reach significance, which indicates that for generalized, free-text searches of the PubMed database, the searchers' own terms are generally as effective as MeSH terms.
本研究的目的是利用2000年1月至2009年12月期间PubMed上的文章评估膀胱癌的风险因素。该研究还旨在描述在使用PubMed搜索膀胱癌风险因素的文献检索方法中遇到的挑战。利用美国国立癌症研究所网站和医学主题词（MeSH）网站确定了26类膀胱癌风险因素。使用术语“膀胱癌”和一个风险因素术语（如“吸烟”）在PubMed上进行了总共1338次搜索，并进行筛选以确定260篇文章进行最终分析。搜索策略的总体精确率为3.42%，相对召回率为12.64%，F值为5.39%。尽管源自MeSH的搜索词具有最高的总体精确率和召回率，但差异未达到显著水平，这表明对于PubMed数据库的广义自由文本搜索，搜索者自己使用的术语通常与MeSH术语一样有效。
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